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Journal Articles Computer Aided Chemical Engineering Year : 2019

Assessment of the dominant factors during hydroprocessing stabilization


Establishing the steady state in hydrotreating process requires several days, leading to long experimentation times in order to obtain sufficient steady-state data for kinetic modelling. However, during the evolution towards this steady state, effluent analyses are already carried out at regular time intervals to determine whether the steady state has been reached and to ensure that the reaction is under control. In this paper, the stabilization time was assessed by using experimental data during these transient conditions. The stabilization evolution is supposed to follow a first-order response. A characteristic time for stabilization τ was defined. A linear model with interaction for τ prediction was developed. It was found that a higher LHSV leads to a quicker stabilization. The extent of the impact of LHSV on τ depends on the feed resin content, i.e., the polar components with high molecule weight. A direct relationship between reactor pressure and stabilization time was found. Temperature is not a dominant factor. Stabilization of spent catalyst depends on the previous operating conditions. Moreover, online transient data can be used in order to predict, from the first two experimental points and τ calculated by the model, the future steady-state value. By testing against new data with other feedstocks, the model has been found to provide a good prediction of the stabilization evolution and the steady-state hydrotreating performance. If this value is far from the target, operators can change the operating condition without waiting for stabilization.
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hal-02479587 , version 1 (14-02-2020)



Ngoc Yen Phuong Cao, Benoît Celse, Denis Guillaume, Isabelle Guibard, Joris W. Thybaut. Assessment of the dominant factors during hydroprocessing stabilization. Computer Aided Chemical Engineering, 2019, pp.1129-1134. ⟨10.1016/B978-0-12-818634-3.50189-2⟩. ⟨hal-02479587⟩


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